Relay Selection and Resource Allocation for SWIPT in Multi-User OFDMA Systems

We investigate the resource allocation and relay selection in a two-hop relay-assisted multi-user orthogonal frequency division multiple access (OFDMA) network, where the end-nodes support the simultaneous wireless information and power transfer (SWIPT) employing a power splitting (PS) technique. Ou...

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Veröffentlicht in:IEEE transactions on wireless communications Jg. 18; H. 5; S. 2493 - 2508
Hauptverfasser: Gautam, Sumit, Lagunas, Eva, Chatzinotas, Symeon, Ottersten, Bjorn
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.05.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Algorithms
Combinatorial analysis
Complexity
Complexity theory
Computer simulation
cooperative communications
Energy harvesting
Frequency division multiple access
Heuristic methods
Linear programming
Nodes
Nonlinear programming
OFDM
Optimization
orthogonal frequency division multiple access (OFDMA)
Orthogonal Frequency Division Multiplexing
Power transfer
Relay
Relay selection
Relays
Resource allocation
Resource management
simultaneous wireless information and power transfer (SWIPT)
Wireless communication
Wireless networks
Wireless communication
Relay selection
resource allocation
OFDM
simultaneous wireless information and power transfer (SWIPT)
orthogonal frequency division multiple access (OFDMA)
Complexity theory
Resource management
Energy harvesting
cooperative communications
Relays
Optimization
ISSN:1536-1276, 1558-2248, 1558-2248
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Zusammenfassung:We investigate the resource allocation and relay selection in a two-hop relay-assisted multi-user orthogonal frequency division multiple access (OFDMA) network, where the end-nodes support the simultaneous wireless information and power transfer (SWIPT) employing a power splitting (PS) technique. Our goal is to optimize the end-nodes' PS ratios as well as the relay, carrier, and power assignment so that the sum-rate of the system is maximized subject to harvested energy and transmitted power constraints. Such joint optimization with mixed-integer non-linear programming structure is combinatorial in nature. Due to the complexity of this problem, we propose to solve its dual problem, which guarantees asymptotic optimality and less execution time compared to a highly-complex exhaustive search approach. Furthermore, we also present a heuristic method to solve this problem with lower computational complexity. The simulation results reveal that the proposed algorithms provide significant performance gains compared to a semi-random resource allocation and relay selection approach and is close to the optimal solution when the number of OFDMA sub-carriers is sufficiently large.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1536-1276
1558-2248
1558-2248
DOI:10.1109/TWC.2019.2904273